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Object motion guided human motion synthesis
Modeling human behaviors in contextual environments has a wide range of applications in
character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans …
character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans …
GRAB: A dataset of whole-body human gras** of objects
Training computers to understand, model, and synthesize human gras** requires a rich
dataset containing complex 3D object shapes, detailed contact information, hand pose and …
dataset containing complex 3D object shapes, detailed contact information, hand pose and …
Synthesizing physical character-scene interactions
Movement is how people interact with and affect their environment. For realistic character
animation, it is necessary to synthesize such interactions between virtual characters and …
animation, it is necessary to synthesize such interactions between virtual characters and …
ContactPose: A dataset of grasps with object contact and hand pose
Gras** is natural for humans. However, it involves complex hand configurations and soft
tissue deformation that can result in complicated regions of contact between the hand and …
tissue deformation that can result in complicated regions of contact between the hand and …
Goal: Generating 4d whole-body motion for hand-object gras**
Generating digital humans that move realistically has many applications and is widely
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
Mode-adaptive neural networks for quadruped motion control
Quadruped motion includes a wide variation of gaits such as walk, pace, trot and canter, and
actions such as jum**, sitting, turning and idling. Applying existing data-driven character …
actions such as jum**, sitting, turning and idling. Applying existing data-driven character …
Contactopt: Optimizing contact to improve grasps
Physical contact between hands and objects plays a critical role in human grasps. We show
that optimizing the pose of a hand to achieve expected contact with an object can improve …
that optimizing the pose of a hand to achieve expected contact with an object can improve …
Cams: Canonicalized manipulation spaces for category-level functional hand-object manipulation synthesis
In this work, we focus on a novel task of category-level functional hand-object manipulation
synthesis covering both rigid and articulated object categories. Given an object geometry, an …
synthesis covering both rigid and articulated object categories. Given an object geometry, an …
[PDF][PDF] Local motion phases for learning multi-contact character movements.
There is a huge demand in simulating fast and complex interactions that involve multiple
contacts between a character and objects, an environment, and other characters, especially …
contacts between a character and objects, an environment, and other characters, especially …
Manipnet: neural manipulation synthesis with a hand-object spatial representation
Natural hand manipulations exhibit complex finger maneuvers adaptive to object shapes
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …